Individualized Health Platform for Coordinated Care
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Solution Overview
Problem
The current healthcare system is inefficient, inaccessible, and costly, with poor integration of health and care services, leading to suboptimal health outcomes, high rates of chronic diseases, mental disorders, and preventable medical mistakes, and lacks a coordinated approach to manage individual health and care effectively.
Innovation Solution
A dynamic, learning, individualized health platform that integrates and coordinates care and health services using AI, natural language processing, and behavioral psychology to provide personalized guidance and care plans, allowing users to monitor their health data and make informed decisions with their care team.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If healthcare services are delivered through traditional uncoordinated systems, then providers can maintain independent operational simplicity, but health outcomes deteriorate and system efficiency decreases
Solution Approach 1:
The patent merges multiple healthcare providers' data and services into a single coordinated platform that shares a common goal. The system integrates electronic health records, care plans, and communication channels across different providers while maintaining a unified coordination structure that improves health outcomes without requiring complete system consolidation.
Solution Approach 2:
The coordination platform serves multiple functions simultaneously: it stores and shares health records, coordinates care plans, enables communication between providers and patients, tracks health outcomes, and manages appointments. This multi-functional approach allows a single system to address various healthcare delivery needs while improving overall system efficiency.
2Manufacturing precision
If comprehensive health and care records are collected for each individual, then personalized care quality improves, but data organization complexity and accessibility issues arise
Solution Approach 1:
The patent segments comprehensive health data into organized categories including demographic information, health conditions, medications, laboratory results, and care plans. Each segment is structured with standardized formats and metadata that enable efficient retrieval and analysis while maintaining data completeness for personalized care.
Solution Approach 2:
The system introduces a centralized digital platform as an intermediary between data collection and data utilization. This platform automatically organizes, stores, and manages comprehensive health records using standardized protocols, eliminating the need for manual data organization and making personalized care data accessible to authorized providers and patients.
3Reliability
If multiple healthcare providers independently manage patient care, then each provider maintains operational autonomy, but care coordination fails and medical errors increase
Solution Approach 1:
The coordination platform implements continuous feedback loops where providers share updates about patient status, treatment responses, and care plan modifications. The system automatically notifies relevant providers of changes and tracks whether care coordination actions are implemented, creating a closed-loop system that improves reliability without sacrificing provider autonomy.
4Ease of manufacture
If traditional volume-based reimbursement is used, then providers can maintain simple billing processes, but healthcare costs increase and quality improvement is discouraged
Solution Approach 1:
The system changes the reimbursement parameter from volume-based to value-based metrics by tracking and measuring health outcomes, care coordination quality, and patient engagement levels. The platform automatically collects and reports these outcome data to payers, enabling transition to reimbursement models that reward quality and efficiency while maintaining billing process simplicity through automated data collection and reporting.
Data Source
AI summary
A method of providing a user with an individualized health platform, includes collecting a user's health and care data, organizing the collected health and care data into a problem oriented health record, drafting health goals and a care plan for the user with the aid of a health coach, vetting the health goals and care plan using a data and analytics system to assure that the health goals and care plan are supported by peer reviewed health and clinical literature, producing individualized guidance options for addressing new acute or chronic issues, managing existing health issues, achieving the health goals, and adhering to the care plan based on the user's problem oriented health record, monitoring the user's achievements with respect to the user's health goals and adherence to the care plan, and providing additional guidance options based on the user's new health and care issues and the user's achievements and adherence.